Thank you fracarb8 for your prompt reply. Finally, I created the table following your advice.
Hi everyone,
I am working on 10X single-cell data. I created a seurat object following SCTransform pipeline. I wonder if it's possible to create a table using the Seurat object, which shows all the detected Genes, Cells, and UMIs. Then I plan to save this extracted table as a csv file for further works like filtering, sorting etc. It would be greatly appreciated if you could provide me with that code.
Thanks,
Volkan
1 answer
To extract the data you can either access the object hierarchy or use the seurat function GetAssayData.
myData <- srtObject@assay$SCT@count
myData <- GetAssayData(object = srtObject, slot = "count")
You can chose between counts (unormalised), data (normalised), and scale.data (scaled), based on your needs.
After, myData can be manipulated as a matrix or converted to data.frame (as.data.frame(myData)).
Have a look at the Data Access section of the seurat documentation
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